核心内容
Automattic 的 AI Enablement 负责人 Em Shreve 介绍一家远程公司如何把 AI 工具使用转化为持续的团队能力。演讲的核心案例是为工程、跨职能与非技术团队设计的两周线下学习项目:一半时间用于工作坊,一半时间用于真实工作项目。
发布方说明列出 MCP、hooks、智能体与内部 MCP 服务等实践内容,并介绍结业成员如何通过操作指南、分享会、结对实践和帮助频道继续带动同事。项目还使用培训后 72 小时、30 天和 90 天的反馈,观察学习能否进入日常工作。
Em Shreve, Head of AI Enablement at Automattic, describes how a remote company turns access to AI tools into sustained team capability. The central example is a two-week in-person programme for engineering, cross-functional, and non-technical groups, split between workshops and projects drawn from real work.
The publisher’s description lists practical work with MCP, hooks, agents, and an internal MCP server. Graduates continue helping colleagues through guides, meetups, ride-alongs, and support channels. Surveys at 72 hours, 30 days, and 90 days examine whether the learning carries into everyday work.
介绍依据 · 发布方说明 · 完整内容待核读
编辑导览,依据原始来源 ↗,整理于 2026-10-09。中英文均由本站概括整理。 内容介绍与下方原话、主张的逐条核对分开标注。
提升全员 AI 流畅度不仅是采购工具,而是系统性的组织能力跃迁:通过沉淀内部 MCP 统一基建、培养同侪带教者(Champions),并以伴随实操(Ride-alongs)打破岗位壁垒,方能实现持续迭代的高效人机协作。
原话
2逐字核对过;核对了说话人和位置We're also wanting each person we send through um to be a multiplier uh within the company and extend our reach to the folks that we can't get to yet. Um, so so far this year we've ran seven of these cohorts of groups of about 45 people. Um, and we're aiming to get around 600 people through these programs
Uh we also um organize these things called AI ride alongs and these are little workshops that we run um basically showing how you work, how you use a different tool. Um because what we found is seeing someone in your similar role or um in in a similar job to you, being able to see how they use it uh is a lot more um easy to grasp than just you know talking about the concepts.
主张
1转述不加引号;附原文依据和位置,核对范围见语境与收据Em Shreve 介绍 Automattic 构建了名为 Context A8C 的内部 MCP 服务器,用于快速为智能体接入定制工具,并在其上统一叠加治理与可观测性层。
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